19
views
0
recommends
+1 Recommend
2 collections
    0
    shares

      Submit your digital health research with an established publisher
      - celebrating 25 years of open access

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          During the COVID-19 pandemic, one way to reduce further transmissions of SARS-CoV-2 is the widespread use of contact tracing apps. Such apps keep track of proximity contacts and warn contacts of persons who tested positive for an infection.

          Objective

          In this study, we analyzed potential barriers to the large-scale adoption of the official contact tracing app that was introduced in Germany on June 16, 2020.

          Methods

          Survey data were collected from 3276 adults during the week the app was introduced using an offline-recruited, probability-based online panel of the general adult population in Germany.

          Results

          We estimate that 81% of the population aged 18 to 77 years possess the devices and ability to install the official app and that 35% are also willing to install and use it. Potential spreaders show high access to devices required to install the app (92%) and high ability to install the app (91%) but low willingness (31%) to correctly adopt the app, whereas for vulnerable groups, the main barrier is access (62%).

          Conclusions

          The findings suggest a pessimistic view on the effectiveness of app-based contact tracing to contain the COVID-19 pandemic. We recommend targeting information campaigns at groups with a high potential to spread the virus but who are unwilling to install and correctly use the app, in particular men and those aged between 30 and 59 years. In addition, vulnerable groups, in particular older individuals and those in lower-income households, may be provided with equipment and support to overcome their barriers to app adoption.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: not found
          • Article: not found

          mice: Multivariate Imputation by Chained Equations inR

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)

            Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported according to the CHERRIES statement will give readers a better understanding of the sample (self-)selection and its possible differences from a “representative” sample. It is hoped that author adherence to the checklist will increase the usefulness of such reports.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

              The newly emergent human virus SARS-CoV-2 is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. We analyzed key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact-tracing needed to stop the epidemic. We conclude that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale. A contact-tracing App which builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without need for mass quarantines (‘lock-downs’) that are harmful to society. We discuss the ethical requirements for an intervention of this kind.
                Bookmark

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2021
                2 March 2021
                2 March 2021
                : 23
                : 3
                : e23362
                Affiliations
                [1 ] Collaborative Research Center 884 “Political Economy of Reforms” University of Mannheim Mannheim Germany
                [2 ] School of Social Sciences University of Mannheim Mannheim Germany
                Author notes
                Corresponding Author: Alexander Wenz a.wenz@ 123456uni-mannheim.de
                Author information
                https://orcid.org/0000-0003-0377-301X
                https://orcid.org/0000-0002-4621-2418
                https://orcid.org/0000-0002-5437-2999
                https://orcid.org/0000-0002-3040-7798
                https://orcid.org/0000-0003-0804-1678
                https://orcid.org/0000-0002-7211-8548
                https://orcid.org/0000-0002-3742-5374
                https://orcid.org/0000-0003-1415-0678
                https://orcid.org/0000-0002-8086-7688
                https://orcid.org/0000-0001-6705-7464
                Article
                v23i3e23362
                10.2196/23362
                7927947
                33577466
                4c5aa12a-e455-4e0a-8ff0-b25f23d59119
                ©Annelies G Blom, Alexander Wenz, Carina Cornesse, Tobias Rettig, Marina Fikel, Sabine Friedel, Katja Möhring, Elias Naumann, Maximiliane Reifenscheid, Ulrich Krieger. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.03.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 10 August 2020
                : 15 August 2020
                : 9 September 2020
                : 18 January 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                digital health,mobile health,smartphone,mobile phone,app,digital technology,contact tracing,coronavirus,covid-19,survey

                Comments

                Comment on this article